In this article, we introduce a new class of product codes based on convolutional codes, called convolutional product codes. The structure of product codes enables parallel decoding, which can significantly increase decoder speed in practice. The use of convolutional codes in a product code setting makes it possible to use the vast knowledge base for convolutional codes as well as their flexibility in fast parallel decoders. Just as in turbo codes, interleaving turns out to be critical for the performance of convolutional product codes. The practical decoding advantages over serially-concatenated convolutional codes are emphasized
International audienceIn turbo decoding of product codes, we propose an algorithm implementation, ba...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
International audienceThis paper describes the ways to construct turbo codes using a parallel concat...
ABSTRACT — In this article we introduce a new class of product codes based on convolutional codes, c...
Abstract- The recently presented geometric inter-pretation of turbo-decoding has founded a framework...
This chapter provides design, analysis, construction, and performance of the turbo codes, serially c...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
In this thesis, we present low latency general concatenated code structures suitable for parallel pr...
Parallel concatenated coding schemes employing convolutional codes as constituent codes linked by an...
This tutorial paper gives an overview of the implementation aspects related to turbo decoders, where...
International audienceThis chapter is a general introduction to the original turbo codes discovered ...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Product codes have large minimum Hamming distance and their complexity might be compared with Tu...
Abstract. In this paper we present a new method to decode convolutional codes. The method is based o...
In this paper we investigate the properties of the generator matrices of a new class of convolutiona...
International audienceIn turbo decoding of product codes, we propose an algorithm implementation, ba...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
International audienceThis paper describes the ways to construct turbo codes using a parallel concat...
ABSTRACT — In this article we introduce a new class of product codes based on convolutional codes, c...
Abstract- The recently presented geometric inter-pretation of turbo-decoding has founded a framework...
This chapter provides design, analysis, construction, and performance of the turbo codes, serially c...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
In this thesis, we present low latency general concatenated code structures suitable for parallel pr...
Parallel concatenated coding schemes employing convolutional codes as constituent codes linked by an...
This tutorial paper gives an overview of the implementation aspects related to turbo decoders, where...
International audienceThis chapter is a general introduction to the original turbo codes discovered ...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
Product codes have large minimum Hamming distance and their complexity might be compared with Tu...
Abstract. In this paper we present a new method to decode convolutional codes. The method is based o...
In this paper we investigate the properties of the generator matrices of a new class of convolutiona...
International audienceIn turbo decoding of product codes, we propose an algorithm implementation, ba...
International audienceIn forward error correction, convolutional turbo codes were introduced to incr...
International audienceThis paper describes the ways to construct turbo codes using a parallel concat...